iMac (27-inch Retina Mid 2020)
Geekbench AI Score
907
Single Precision Score
667
Half Precision Score
539
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | January 06 2025 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
99% |
373
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (Q)
|
100% |
443
7.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
847
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
92% |
223
17.8 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (Q)
|
100% |
342
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1164
8.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1049
8.09 IPS |
|
|
Depth Estimation (Q)
|
97% |
1080
8.35 IPS |
|
|
Style Transfer (SP)
|
100% |
3137
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2485
3.19 IPS |
|
|
Style Transfer (Q)
|
100% |
2443
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (HP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (Q)
|
93% |
452
606.0 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.37 IPS |
